{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>Hello World</div>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%html\n",
    "<div>Hello World</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "console.log('1234')\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "console.log('1234')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg>BogusSVB</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%svg\n",
    "<svg>BogusSVB</svg>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$e^2$\n"
      ],
      "text/plain": [
       "<IPython.core.display.Latex object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%latex\n",
    "$e^2$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x129380970>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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2Q1zcvSVPjupNdKSaaUnlU6CLBEhBUQkvf5bOS5+m06huBH/+2Zlc1SdazbSkyijQRQLgx+2HGD8riXV7cxjZtw2PXdWLZg1qe12WVDMKdJHTkFdQzPMfr+P1LzfTslFdXr8lgYt7qJmWeEOBLnKKvt64nwmJyWzLzOWGQbFMGNadxnXVTEu8o0AXOUnZ+YU8vXgt7363jfbN6/PunYMZ0qm512WJKNBFTsYnaXt5eG4y+3KOMva8jvzmkq7Uq13T67JEAAW6iF8OHD7KpAVpLFi9i+6tGzH95gTOiGnidVki/0WBLnICZsb81buYND+Vw0eL+O2lXbn7/E5qpiVBqcJAd87FADOBVoAB083sxTJjLgDmAZt9D802sycCWqlIFdt1KI9H5qawdG0GfWOa8OzoPnRt1cjrskSOy5899CLgd2a2yjnXCFjpnPvYzNLKjFtmZsMDX6JI1SopMd79fhtPL15LcYkxcXhPbj0rTs20JOhVGOhmthvY7bud45xbA7QFyga6SMjbvP8IExKTWL45k7M7N+fpUX2IbV7f67JE/HJSx9Cdc3HAmcDychYPcc6tBnYB95tZajnfPxYYCxAbG3vSxYpUlqLiEl7/cjPPf7ye2rVq8My18fw0IUaX7UtI8TvQnXMNgUTg12aWXWbxKqC9mR12zl0BzAW6lH0OM5sOTAdISEiwUy1aJJDW7M5mfGISSTuyuLRnK568ujetGtf1uiyRk+ZXoDvnIigN83fMbHbZ5ccGvJktds697JyLMrP9gStVJLCOFhXz0tJ0Xv5sI5H1Iph6w5lcGa9mWhK6/DnLxQGvA2vM7PnjjGkN7DUzc84NBGoABwJaqUgArdp2kPGzktiQcZhrzmzLxOE9aapmWhLi/NlDPxu4GUh2zv3oe+whIBbAzKYBo4F7nHNFQB5wvZnpkIoEndyCIv7w4Xre/Hoz0Y3r8uZtA7iwW0uvyxIJCH/OcvkSOOHfoGY2FZgaqKJEKsOXG/bz4JwktmfmcfPg9owb2o1GaqYlYURXikrYy8or5PeL0nh/xQ46RDXgvbGDGdRRzbQk/CjQJax9mLqHiXNTOHCkgLvP78SvL+lC3Qg105LwpECXsLQv5yiT5qeyKHk3PaIb8/otA4hvF+l1WSKVSoEuYcXMmPPDTp5YmEbu0WLuv6wrd53fiYiaaqYl4U+BLmFj56E8Hp6TzGfr9tEvtrSZVueWaqYl1YcCXUJeSYnxzvKtTFmyFgMmXdWTm4eomZZUPwp0CWkb9x1mQmIS3285yLldonhqVDwxzdRMS6onBbqEpKLiEqYv28QLn2ygbq0aPDe6D6P7t9Nl+1KtKdAl5KTuymJ8YhIpO7O5vFcrJo/sTUs10xJRoEvoyC8s5i9LNzDt8000rV+bV27sx7D4aK/LEgkaCnQJCSu3ZjJuVhIb9x3h2n7tmDi8B03qq5mWyLEU6BLUjhwt4rkP1zHjmy20iazHjDEDOb9rC6/LEglKCnQJWl+s38eDs5PZlZXHzwe354Gh3WlYR7+yIsejV4cEnUO5BTy5aA2zVu6gY4sGvH/XEAbENfO6LJGgp0CXoLIkeTcT56VyMLeAX1zQifsuVjMtEX8p0CUoZOTk89i8VJak7KFndGP+dtsAerdVMy2Rk6FAF0+ZGbNW7uDJRWvIKyzmgcu7Mfa8jmqmJXIKFOjime2ZuTw0J5llG/aT0L4pU67tQ+eWDb0uSyRkKdClypWUGDO/2cKzH67DAU+M7MVNg9pTQ820RE6LAl2qVHpGDuMTk1m59SDndW3BU6N6066pmmmJBIICXapEYXEJ07/YxIufbKBe7Zr88SdncE2/tmqmJRJACnSpdCk7sxg3K4m03dlcEd+ax0f0pkWjOl6XJRJ2FOhSafILi3nxXxuY/sUmmjWozbSb+jG0t5ppiVQWBbpUiu82ZzIhMYlN+4/wk/7teOTKnkTWj/C6LJGwVmGgO+digJlAK8CA6Wb2YpkxDngRuALIBW41s1WBL1eC3eGjRTyzZC1vfbuVdk3r8dbtAzm3i5ppiVQFf/bQi4Dfmdkq51wjYKVz7mMzSztmzDCgi+9rEPCK71+pRj5dl8HDs5PZnZ3PbWfHcf9l3WigZloiVabCV5uZ7QZ2+27nOOfWAG2BYwN9JDDTzAz41jnXxDkX7fteCXMHjxQweWEas3/YSeeWDZl191n0b9/U67JEqp2T2n1yzsUBZwLLyyxqC2w/5v4O32P/FejOubHAWIDY2NiTLFWCjZmxOHkPj81P4VBuIb+8sDP/d3Fn6tRSMy0RL/gd6M65hkAi8Gszyz6VlZnZdGA6QEJCgp3Kc0hw2Judz8S5KXyUtpf4tpHMHDOInm0ae12WSLXmV6A75yIoDfN3zGx2OUN2AjHH3G/ne0zCjJnx/ortPLloDQVFJUwY1p07zulALTXTEvGcP2e5OOB1YI2ZPX+cYfOBXzrn/kHpm6FZOn4efrYdyOXBOUl8lX6AgR2aMeWaeDq2UDMtkWDhzx762cDNQLJz7kffYw8BsQBmNg1YTOkpi+mUnrZ4W8ArFc8Ulxh/+3oLf/hwHTVrOJ68ujc3DIxVMy2RIOPPWS5fAid85frObrk3UEVJ8NiwN4dxiUn8sO0QF3RrwVOj4mnTpJ7XZYlIOXSSsJSroKiEaZ9vZOrSdBrUqckL1/VlZN82aqYlEsQU6PI/knYcYtysJNbuyWF4n2gmjehFVEM10xIJdgp0+Y+8gmJe+GQ9ry7bRFTDOky/uT+X9WrtdVki4icFugDw7aYDTEhMYsuBXH42MIYJw3oQWU/NtERCiQK9msvJL2TKkrW8s3wbsc3q8/c7BnFW5yivyxKRU6BAr8aWrt3Lw3NS2Judzx3ndOC3l3Wlfm39SoiEKr16q6HMIwU8sSCVuT/uokvLhrx8z1mcGatmWiKhToFejZgZC5J2M2l+Ktl5hfzq4i784sJOaqYlEiYU6NXEnqx8HpmbzCdrMjijXSTP3DmI7q3VTEsknCjQw5yZ8Y/vt/PUojUUlpTw8BU9GHNOB2rqsn2RsKNAD2NbDxxhQmIy32w6wOCOzZhyTR/iohp4XZaIVBIFehgqLjHe/Gozf/hoHRE1avDUqHiuHxCjZloiYU6BHmbW7SltprV6+yEu7t6SJ0f1JjpSzbREqgMFepgoKCrhpU/TefmzdBrVjeDF6/sy4gw10xKpThToYeDH7YcYN2s16/ceZmTfNjw6vCfN1UxLpNpRoIewvIJi/vjROt74ajMtG9Xl9VsSuLhHK6/LEhGPKNBD1Ncb9zMhMZltmbncMCiWCcO607iummmJVGcK9BCTnV/I04vX8O5322nfvD7v3jmYIZ2ae12WiAQBBXoI+SRtLw/PTWZfzlHGnteR31zSlXq1ddm+iJRSoIeA/YeP8viCNBas3kX31o2YfnMCZ8Q08bosEQkyCvQgZmbM+3EXjy9I5fDRIn57aVfuPr8TtWvV8Lo0EQlCCvQgtetQHo/MTWHp2gz6xjTh2dF96NqqkddliUgQU6AHmZIS4+/fbWPKkrUUlxgTh/fk1rPi1ExLRCqkQA8im/cfYUJiEss3Z3J25+Y8PaoPsc3re12WiISICgPdOfcGMBzIMLPe5Sy/AJgHbPY9NNvMnghgjWGvqLiE17/czPMfr6d2rRo8c208P02I0WX7InJS/NlD/xswFZh5gjHLzGx4QCqqZtJ2ZTM+MYnknVlc2rMVT17dm1aN63pdloiEoAoD3cy+cM7FVUEt1crRomKmLk3nlc820qR+BC/d0I8r4ltrr1xETlmgjqEPcc6tBnYB95tZanmDnHNjgbEAsbGxAVp16Fm59SDjE5NIzzjMNWe2ZeLwnjRtUNvrskQkxAUi0FcB7c3ssHPuCmAu0KW8gWY2HZgOkJCQYAFYd0jJLSjiuQ/X8bevtxDduC5v3jaAC7u19LosEQkTpx3oZpZ9zO3FzrmXnXNRZrb/dJ87nHy5YT8TZiex42AeNw9uz7ih3WikZloiEkCnHejOudbAXjMz59xAoAZw4LQrCxNZuYX8fnEa76/YQYeoBrw3djCDOqqZlogEnj+nLb4LXABEOed2AI8BEQBmNg0YDdzjnCsC8oDrzazaHU4pzwcpe5g4L4XMIwXcc0EnfnVxF+pGqJmWiFQOf85y+VkFy6dSelqj+OzLOcqk+aksSt5Nj+jGvHHLAOLbRXpdloiEOV0pGkBmxuxVO3liYRp5BcU8cHk3xp7XkYiaaqYlIpVPgR4gOw/l8dDsZD5fv49+saXNtDq3VDMtEak6CvTTVFJivL18K88sWYsBk67qyc1D1ExLRKqeAv00bNx3mAmJSXy/5SDndoniqVHxxDRTMy0R8YYC/RQUFpfw6rJNvPDJBurWqsFzo/swun87XbYvIp5SoJ+klJ1ZjE9MInVXNkN7teaJq3vRspGaaYmI9xTofsovLOYvSzcw7fNNNK1fm1du7Mew+GivyxIR+Q8Fuh9WbMlkXGISm/Yd4dp+7Zg4vAdN6quZlogEFwX6CRw5WtpMa8Y3W2gTWY8ZYwZyftcWXpclIlIuBfpxfL5+Hw/NTmZXVh63DInjgcu70aCOflwiEryUUGUcyi1g8sI1JK7aQccWDfjnXUNIiGvmdVkiIhVSoB9jSfJuJs5L5WBuAfde2In/u0jNtEQkdCjQgYzsfB6dl8oHqXvo1aYxM8YMoFcbNdMSkdBSrQPdzJi1cgeTF6aRX1TCuKHduPNcNdMSkdBUbQN9e2YuD81JZtmG/QyIa8qUa/vQqUVDr8sSETll1S7Qi0uMmd9s4bkP1+GAySN7ceOg9tRQMy0RCXHVKtDTM3IYn5jMyq0HOb9rC34/qjftmqqZloiEh2oR6IXFJfz18438+V/p1K9Tk+d/egajzmyrZloiElbCPtBTdmbxwKwk1uzO5sr4aCaN6EWLRnW8LktEJODCNtDzC4t54ZMNvLpsE80a1GbaTf0Z2ru112WJiFSasAz07zZnMiExiU37j3BdQgwPXdGDyPoRXpclIlKpwirQc/ILefaDdbz17VbaNa3H27cP4pwuUV6XJSJSJcIm0D9dl8HDs5PZnZ3PmLM7cP/lXalfO2ymJyJSoZBPvINHCpi8MI3ZP+ykc8uGzLr7LPq3b+p1WSIiVa7CQHfOvQEMBzLMrHc5yx3wInAFkAvcamarAl1oWWbGouTdPDYvlay8Qu67qDP3XtSZOrXUTEtEqid/9tD/BkwFZh5n+TCgi+9rEPCK799Kszc7n4lzU/gobS/xbSN5+45B9IhuXJmrFBEJehUGupl94ZyLO8GQkcBMMzPgW+dcE+dctJntDlSRx/p0bQb3/eMHCopKeHBYd24/pwO11ExLRCQgx9DbAtuPub/D99j/BLpzbiwwFiA2NvaUVtYhqgH9YpsyaUQvOkQ1OKXnEBEJR1W6a2tm080swcwSWrQ4tc/mjItqwIwxAxXmIiJlBCLQdwIxx9xv53tMRESqUCACfT7wc1dqMJBVWcfPRUTk+Pw5bfFd4AIgyjm3A3gMiAAws2nAYkpPWUyn9LTF2yqrWBEROT5/znL5WQXLDbg3YBWJiMgp0fl+IiJhQoEuIhImFOgiImFCgS4iEiZc6XuaHqzYuX3A1lP89ihgfwDL8ZLmEpzCZS7hMg/QXP6tvZmVe2WmZ4F+OpxzK8wswes6AkFzCU7hMpdwmQdoLv7QIRcRkTChQBcRCROhGujTvS4ggDSX4BQucwmXeYDmUqGQPIYuIiL/K1T30EVEpAwFuohImAjqQHfOveGcy3DOpRxnuXPO/dk5l+6cS3LO9avqGv3hxzwucM5lOed+9H09WtU1+ss5F+Oc+9Q5l+acS3XO/aqcMUG/XfycR0hsF+dcXefcd8651b65PF7OmDrOufd822R5BR8r6Rk/53Krc27fMdvlDi9q9YdzrqZz7gfn3MJylgV+m5hZ0H4B5wH9gJTjLL8CWAI4YDCw3OuaT3EeFwALva7Tz7lEA/18txsB64GeobZd/JxHSGwX38+5oe92BLAcGFxmzC+Aab7b1wPveV33aczlVmCq17X6OZ/fAn8v7/eoMrZJUO+hm9kXQOYJhvznA6rN7FugiXMuumqq858f8wgZZrbbzFb5bucAayj9DNljBf128XMeIcH3cz7suxvh+yp7tsNIYIbv9izgYuecq6IS/ebnXEKCc64dcCXw2nGGBHybBHWg++F4H1Adiob4/sxc4pzr5XUx/vD9iXgmpXtRxwqp7XKCeUCIbBffn/Y/AhnAx2Z23G1iZkVAFtC8Sov0kx9zAbjWdzhvlnMuppzlweAFYBxQcpzlAd8moR7o4WIVpf0ZzgD+Asz1tpyKOecaAonAr80s2+t6TlUF8wiZ7WJmxWbWl9LP9B3onOvtcUmnzI+5LADizKwP8DH/fy83aDjnhgMZZrayKtcb6oEeFh9QbWbZ//4z08wWAxHOuSiPyzou51wEpSH4jpnNLmdISGyXiuYRatsFwMwOAZ8CQ8ss+s82cc7VAiKBA1Va3Ek63lzM7ICZHfXdfQ3oX8Wl+eNsYIRzbgvwD+Ai59zbZcYEfJuEeqCHxQdUO+da//vYmXNuIKXbJShfbL46XwfWmNnzxxkW9NvFn3mEynZxzrVwzjXx3a4HXAqsLTNsPnCL7/ZoYKn53o0LJv7Mpcz7MSMoff8jqJjZg2bWzsziKH3Dc6mZ3VRmWMC3SYWfKeolFyYfUO3HPEYD9zjnioA84PpgfLH5nA3cDCT7jnMCPATEQkhtF3/mESrbJRqY4ZyrSel/Ou+b2ULn3BPACjObT+l/Xm8559IpfYP+eu/KPSF/5nKfc24EUETpXG71rNqTVNnbRJf+i4iEiVA/5CIiIj4KdBGRMKFAFxEJEwp0EZEwoUAXEQkTCnQRkTChQBcRCRP/D50fnBYQNBepAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot([1,2,3,4],[1,2,3,4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "21c1acd576574423ad27a5b1d492f7cc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x129486b80>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib widget\n",
    "plt.plot([1,2,3,4],[1,2,3,4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.core.display import Image, display\n",
    "display(Image('https://raw.githubusercontent.com/microsoft/vscode-jupyter/main/icon.png'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id=\"altair-viz-2fc3e7dacaeb4276839ce36c68b0149c\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  (function(spec, embedOpt){\n",
       "    let outputDiv = document.currentScript.previousElementSibling;\n",
       "    if (outputDiv.id !== \"altair-viz-2fc3e7dacaeb4276839ce36c68b0149c\") {\n",
       "      outputDiv = document.getElementById(\"altair-viz-2fc3e7dacaeb4276839ce36c68b0149c\");\n",
       "    }\n",
       "    const paths = {\n",
       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
       "    };\n",
       "\n",
       "    function loadScript(lib) {\n",
       "      return new Promise(function(resolve, reject) {\n",
       "        var s = document.createElement('script');\n",
       "        s.src = paths[lib];\n",
       "        s.async = true;\n",
       "        s.onload = () => resolve(paths[lib]);\n",
       "        s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      });\n",
       "    }\n",
       "\n",
       "    function showError(err) {\n",
       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
       "      throw err;\n",
       "    }\n",
       "\n",
       "    function displayChart(vegaEmbed) {\n",
       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
       "    }\n",
       "\n",
       "    if(typeof define === \"function\" && define.amd) {\n",
       "      requirejs.config({paths});\n",
       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
       "    } else if (typeof vegaEmbed === \"function\") {\n",
       "      displayChart(vegaEmbed);\n",
       "    } else {\n",
       "      loadScript(\"vega\")\n",
       "        .then(() => loadScript(\"vega-lite\"))\n",
       "        .then(() => loadScript(\"vega-embed\"))\n",
       "        .catch(showError)\n",
       "        .then(() => displayChart(vegaEmbed));\n",
       "    }\n",
       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-a264acbd6e539a8b3afc0cb5f240fb57\"}, \"mark\": \"point\", \"encoding\": {\"color\": {\"type\": \"nominal\", \"field\": \"species\"}, \"x\": {\"type\": \"quantitative\", \"field\": \"petalLength\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"petalWidth\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.8.1.json\", \"datasets\": {\"data-a264acbd6e539a8b3afc0cb5f240fb57\": [{\"sepalLength\": 5.1, \"sepalWidth\": 3.5, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.9, \"sepalWidth\": 3.0, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.7, \"sepalWidth\": 3.2, \"petalLength\": 1.3, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.6, \"sepalWidth\": 3.1, \"petalLength\": 1.5, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 3.6, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.4, \"sepalWidth\": 3.9, \"petalLength\": 1.7000000000000002, \"petalWidth\": 0.4, \"species\": \"setosa\"}, {\"sepalLength\": 4.6, \"sepalWidth\": 3.4, \"petalLength\": 1.4, \"petalWidth\": 0.30000000000000004, \"species\": \"setosa\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 3.4, \"petalLength\": 1.5, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.4, \"sepalWidth\": 2.9, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.9, \"sepalWidth\": 3.1, \"petalLength\": 1.5, \"petalWidth\": 0.1, \"species\": \"setosa\"}, {\"sepalLength\": 5.4, \"sepalWidth\": 3.7, \"petalLength\": 1.5, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.8, \"sepalWidth\": 3.4, \"petalLength\": 1.6, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.8, \"sepalWidth\": 3.0, \"petalLength\": 1.4, \"petalWidth\": 0.1, \"species\": \"setosa\"}, {\"sepalLength\": 4.3, \"sepalWidth\": 3.0, \"petalLength\": 1.1, \"petalWidth\": 0.1, \"species\": \"setosa\"}, {\"sepalLength\": 5.8, \"sepalWidth\": 4.0, \"petalLength\": 1.2, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.7, \"sepalWidth\": 4.4, \"petalLength\": 1.5, \"petalWidth\": 0.4, \"species\": \"setosa\"}, {\"sepalLength\": 5.4, \"sepalWidth\": 3.9, \"petalLength\": 1.3, \"petalWidth\": 0.4, \"species\": \"setosa\"}, {\"sepalLength\": 5.1, \"sepalWidth\": 3.5, \"petalLength\": 1.4, \"petalWidth\": 0.30000000000000004, \"species\": \"setosa\"}, {\"sepalLength\": 5.7, \"sepalWidth\": 3.8, \"petalLength\": 1.7000000000000002, \"petalWidth\": 0.30000000000000004, \"species\": \"setosa\"}, {\"sepalLength\": 5.1, \"sepalWidth\": 3.8, \"petalLength\": 1.5, \"petalWidth\": 0.30000000000000004, \"species\": \"setosa\"}, {\"sepalLength\": 5.4, \"sepalWidth\": 3.4, \"petalLength\": 1.7000000000000002, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.1, \"sepalWidth\": 3.7, \"petalLength\": 1.5, \"petalWidth\": 0.4, \"species\": \"setosa\"}, {\"sepalLength\": 4.6, \"sepalWidth\": 3.6, \"petalLength\": 1.0, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.1, \"sepalWidth\": 3.3, \"petalLength\": 1.7000000000000002, \"petalWidth\": 0.5, \"species\": \"setosa\"}, {\"sepalLength\": 4.8, \"sepalWidth\": 3.4, \"petalLength\": 1.9, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 3.0, \"petalLength\": 1.6, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 3.4, \"petalLength\": 1.6, \"petalWidth\": 0.4, \"species\": \"setosa\"}, {\"sepalLength\": 5.2, \"sepalWidth\": 3.5, \"petalLength\": 1.5, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.2, \"sepalWidth\": 3.4, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.7, \"sepalWidth\": 3.2, \"petalLength\": 1.6, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.8, \"sepalWidth\": 3.1, \"petalLength\": 1.6, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.4, \"sepalWidth\": 3.4, \"petalLength\": 1.5, \"petalWidth\": 0.4, \"species\": \"setosa\"}, {\"sepalLength\": 5.2, \"sepalWidth\": 4.1, \"petalLength\": 1.5, \"petalWidth\": 0.1, \"species\": \"setosa\"}, {\"sepalLength\": 5.5, \"sepalWidth\": 4.2, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.9, \"sepalWidth\": 3.1, \"petalLength\": 1.5, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 3.2, \"petalLength\": 1.2, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.5, \"sepalWidth\": 3.5, \"petalLength\": 1.3, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.9, \"sepalWidth\": 3.6, \"petalLength\": 1.4, \"petalWidth\": 0.1, \"species\": \"setosa\"}, {\"sepalLength\": 4.4, \"sepalWidth\": 3.0, \"petalLength\": 1.3, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.1, \"sepalWidth\": 3.4, \"petalLength\": 1.5, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 3.5, \"petalLength\": 1.3, \"petalWidth\": 0.30000000000000004, \"species\": \"setosa\"}, {\"sepalLength\": 4.5, \"sepalWidth\": 2.3, \"petalLength\": 1.3, \"petalWidth\": 0.30000000000000004, \"species\": \"setosa\"}, {\"sepalLength\": 4.4, \"sepalWidth\": 3.2, \"petalLength\": 1.3, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 3.5, \"petalLength\": 1.6, \"petalWidth\": 0.6000000000000001, \"species\": \"setosa\"}, {\"sepalLength\": 5.1, \"sepalWidth\": 3.8, \"petalLength\": 1.9, \"petalWidth\": 0.4, \"species\": \"setosa\"}, {\"sepalLength\": 4.8, \"sepalWidth\": 3.0, \"petalLength\": 1.4, \"petalWidth\": 0.30000000000000004, \"species\": \"setosa\"}, {\"sepalLength\": 5.1, \"sepalWidth\": 3.8, \"petalLength\": 1.6, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 4.6, \"sepalWidth\": 3.2, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.3, \"sepalWidth\": 3.7, \"petalLength\": 1.5, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 3.3, \"petalLength\": 1.4, \"petalWidth\": 0.2, \"species\": \"setosa\"}, {\"sepalLength\": 7.0, \"sepalWidth\": 3.2, \"petalLength\": 4.7, \"petalWidth\": 1.4, \"species\": \"versicolor\"}, {\"sepalLength\": 6.4, \"sepalWidth\": 3.2, \"petalLength\": 4.5, \"petalWidth\": 1.5, \"species\": \"versicolor\"}, {\"sepalLength\": 6.9, \"sepalWidth\": 3.1, \"petalLength\": 4.9, \"petalWidth\": 1.5, \"species\": \"versicolor\"}, {\"sepalLength\": 5.5, \"sepalWidth\": 2.3, \"petalLength\": 4.0, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 6.5, \"sepalWidth\": 2.8, \"petalLength\": 4.6, \"petalWidth\": 1.5, \"species\": \"versicolor\"}, {\"sepalLength\": 5.7, \"sepalWidth\": 2.8, \"petalLength\": 4.5, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 6.3, \"sepalWidth\": 3.3, \"petalLength\": 4.7, \"petalWidth\": 1.6, \"species\": \"versicolor\"}, {\"sepalLength\": 4.9, \"sepalWidth\": 2.4, \"petalLength\": 3.3, \"petalWidth\": 1.0, \"species\": \"versicolor\"}, {\"sepalLength\": 6.6, \"sepalWidth\": 2.9, \"petalLength\": 4.6, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 5.2, \"sepalWidth\": 2.7, \"petalLength\": 3.9, \"petalWidth\": 1.4, \"species\": \"versicolor\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 2.0, \"petalLength\": 3.5, \"petalWidth\": 1.0, \"species\": \"versicolor\"}, {\"sepalLength\": 5.9, \"sepalWidth\": 3.0, \"petalLength\": 4.2, \"petalWidth\": 1.5, \"species\": \"versicolor\"}, {\"sepalLength\": 6.0, \"sepalWidth\": 2.2, \"petalLength\": 4.0, \"petalWidth\": 1.0, \"species\": \"versicolor\"}, {\"sepalLength\": 6.1, \"sepalWidth\": 2.9, \"petalLength\": 4.7, \"petalWidth\": 1.4, \"species\": \"versicolor\"}, {\"sepalLength\": 5.6, \"sepalWidth\": 2.9, \"petalLength\": 3.6, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 6.7, \"sepalWidth\": 3.1, \"petalLength\": 4.4, \"petalWidth\": 1.4, \"species\": \"versicolor\"}, {\"sepalLength\": 5.6, \"sepalWidth\": 3.0, \"petalLength\": 4.5, \"petalWidth\": 1.5, \"species\": \"versicolor\"}, {\"sepalLength\": 5.8, \"sepalWidth\": 2.7, \"petalLength\": 4.1, \"petalWidth\": 1.0, \"species\": \"versicolor\"}, {\"sepalLength\": 6.2, \"sepalWidth\": 2.2, \"petalLength\": 4.5, \"petalWidth\": 1.5, \"species\": \"versicolor\"}, {\"sepalLength\": 5.6, \"sepalWidth\": 2.5, \"petalLength\": 3.9, \"petalWidth\": 1.1, \"species\": \"versicolor\"}, {\"sepalLength\": 5.9, \"sepalWidth\": 3.2, \"petalLength\": 4.8, \"petalWidth\": 1.8, \"species\": \"versicolor\"}, {\"sepalLength\": 6.1, \"sepalWidth\": 2.8, \"petalLength\": 4.0, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 6.3, \"sepalWidth\": 2.5, \"petalLength\": 4.9, \"petalWidth\": 1.5, \"species\": \"versicolor\"}, {\"sepalLength\": 6.1, \"sepalWidth\": 2.8, \"petalLength\": 4.7, \"petalWidth\": 1.2, \"species\": \"versicolor\"}, {\"sepalLength\": 6.4, \"sepalWidth\": 2.9, \"petalLength\": 4.3, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 6.6, \"sepalWidth\": 3.0, \"petalLength\": 4.4, \"petalWidth\": 1.4, \"species\": \"versicolor\"}, {\"sepalLength\": 6.8, \"sepalWidth\": 2.8, \"petalLength\": 4.8, \"petalWidth\": 1.4, \"species\": \"versicolor\"}, {\"sepalLength\": 6.7, \"sepalWidth\": 3.0, \"petalLength\": 5.0, \"petalWidth\": 1.7000000000000002, \"species\": \"versicolor\"}, {\"sepalLength\": 6.0, \"sepalWidth\": 2.9, \"petalLength\": 4.5, \"petalWidth\": 1.5, \"species\": \"versicolor\"}, {\"sepalLength\": 5.7, \"sepalWidth\": 2.6, \"petalLength\": 3.5, \"petalWidth\": 1.0, \"species\": \"versicolor\"}, {\"sepalLength\": 5.5, \"sepalWidth\": 2.4, \"petalLength\": 3.8, \"petalWidth\": 1.1, \"species\": \"versicolor\"}, {\"sepalLength\": 5.5, \"sepalWidth\": 2.4, \"petalLength\": 3.7, \"petalWidth\": 1.0, \"species\": \"versicolor\"}, {\"sepalLength\": 5.8, \"sepalWidth\": 2.7, \"petalLength\": 3.9, \"petalWidth\": 1.2, \"species\": \"versicolor\"}, {\"sepalLength\": 6.0, \"sepalWidth\": 2.7, \"petalLength\": 5.1, \"petalWidth\": 1.6, \"species\": \"versicolor\"}, {\"sepalLength\": 5.4, \"sepalWidth\": 3.0, \"petalLength\": 4.5, \"petalWidth\": 1.5, \"species\": \"versicolor\"}, {\"sepalLength\": 6.0, \"sepalWidth\": 3.4, \"petalLength\": 4.5, \"petalWidth\": 1.6, \"species\": \"versicolor\"}, {\"sepalLength\": 6.7, \"sepalWidth\": 3.1, \"petalLength\": 4.7, \"petalWidth\": 1.5, \"species\": \"versicolor\"}, {\"sepalLength\": 6.3, \"sepalWidth\": 2.3, \"petalLength\": 4.4, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 5.6, \"sepalWidth\": 3.0, \"petalLength\": 4.1, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 5.5, \"sepalWidth\": 2.5, \"petalLength\": 4.0, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 5.5, \"sepalWidth\": 2.6, \"petalLength\": 4.4, \"petalWidth\": 1.2, \"species\": \"versicolor\"}, {\"sepalLength\": 6.1, \"sepalWidth\": 3.0, \"petalLength\": 4.6, \"petalWidth\": 1.4, \"species\": \"versicolor\"}, {\"sepalLength\": 5.8, \"sepalWidth\": 2.6, \"petalLength\": 4.0, \"petalWidth\": 1.2, \"species\": \"versicolor\"}, {\"sepalLength\": 5.0, \"sepalWidth\": 2.3, \"petalLength\": 3.3, \"petalWidth\": 1.0, \"species\": \"versicolor\"}, {\"sepalLength\": 5.6, \"sepalWidth\": 2.7, \"petalLength\": 4.2, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 5.7, \"sepalWidth\": 3.0, \"petalLength\": 4.2, \"petalWidth\": 1.2, \"species\": \"versicolor\"}, {\"sepalLength\": 5.7, \"sepalWidth\": 2.9, \"petalLength\": 4.2, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 6.2, \"sepalWidth\": 2.9, \"petalLength\": 4.3, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 5.1, \"sepalWidth\": 2.5, \"petalLength\": 3.0, \"petalWidth\": 1.1, \"species\": \"versicolor\"}, {\"sepalLength\": 5.7, \"sepalWidth\": 2.8, \"petalLength\": 4.1, \"petalWidth\": 1.3, \"species\": \"versicolor\"}, {\"sepalLength\": 6.3, \"sepalWidth\": 3.3, \"petalLength\": 6.0, \"petalWidth\": 2.5, \"species\": \"virginica\"}, {\"sepalLength\": 5.8, \"sepalWidth\": 2.7, \"petalLength\": 5.1, \"petalWidth\": 1.9, \"species\": \"virginica\"}, {\"sepalLength\": 7.1, \"sepalWidth\": 3.0, \"petalLength\": 5.9, \"petalWidth\": 2.1, \"species\": \"virginica\"}, {\"sepalLength\": 6.3, \"sepalWidth\": 2.9, \"petalLength\": 5.6, \"petalWidth\": 1.8, \"species\": \"virginica\"}, {\"sepalLength\": 6.5, \"sepalWidth\": 3.0, \"petalLength\": 5.8, \"petalWidth\": 2.2, \"species\": \"virginica\"}, {\"sepalLength\": 7.6, \"sepalWidth\": 3.0, \"petalLength\": 6.6, \"petalWidth\": 2.1, \"species\": \"virginica\"}, {\"sepalLength\": 4.9, \"sepalWidth\": 2.5, \"petalLength\": 4.5, \"petalWidth\": 1.7000000000000002, \"species\": \"virginica\"}, {\"sepalLength\": 7.3, \"sepalWidth\": 2.9, \"petalLength\": 6.3, \"petalWidth\": 1.8, \"species\": \"virginica\"}, {\"sepalLength\": 6.7, \"sepalWidth\": 2.5, \"petalLength\": 5.8, \"petalWidth\": 1.8, \"species\": \"virginica\"}, {\"sepalLength\": 7.2, \"sepalWidth\": 3.6, \"petalLength\": 6.1, \"petalWidth\": 2.5, \"species\": \"virginica\"}, {\"sepalLength\": 6.5, \"sepalWidth\": 3.2, \"petalLength\": 5.1, \"petalWidth\": 2.0, \"species\": \"virginica\"}, {\"sepalLength\": 6.4, \"sepalWidth\": 2.7, \"petalLength\": 5.3, \"petalWidth\": 1.9, \"species\": \"virginica\"}, {\"sepalLength\": 6.8, \"sepalWidth\": 3.0, \"petalLength\": 5.5, \"petalWidth\": 2.1, \"species\": \"virginica\"}, {\"sepalLength\": 5.7, \"sepalWidth\": 2.5, \"petalLength\": 5.0, \"petalWidth\": 2.0, \"species\": \"virginica\"}, {\"sepalLength\": 5.8, \"sepalWidth\": 2.8, \"petalLength\": 5.1, \"petalWidth\": 2.4, \"species\": \"virginica\"}, {\"sepalLength\": 6.4, \"sepalWidth\": 3.2, \"petalLength\": 5.3, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 6.5, \"sepalWidth\": 3.0, \"petalLength\": 5.5, \"petalWidth\": 1.8, \"species\": \"virginica\"}, {\"sepalLength\": 7.7, \"sepalWidth\": 3.8, \"petalLength\": 6.7, \"petalWidth\": 2.2, \"species\": \"virginica\"}, {\"sepalLength\": 7.7, \"sepalWidth\": 2.6, \"petalLength\": 6.9, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 6.0, \"sepalWidth\": 2.2, \"petalLength\": 5.0, \"petalWidth\": 1.5, \"species\": \"virginica\"}, {\"sepalLength\": 6.9, \"sepalWidth\": 3.2, \"petalLength\": 5.7, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 5.6, \"sepalWidth\": 2.8, \"petalLength\": 4.9, \"petalWidth\": 2.0, \"species\": \"virginica\"}, {\"sepalLength\": 7.7, \"sepalWidth\": 2.8, \"petalLength\": 6.7, \"petalWidth\": 2.0, \"species\": \"virginica\"}, {\"sepalLength\": 6.3, \"sepalWidth\": 2.7, \"petalLength\": 4.9, \"petalWidth\": 1.8, \"species\": \"virginica\"}, {\"sepalLength\": 6.7, \"sepalWidth\": 3.3, \"petalLength\": 5.7, \"petalWidth\": 2.1, \"species\": \"virginica\"}, {\"sepalLength\": 7.2, \"sepalWidth\": 3.2, \"petalLength\": 6.0, \"petalWidth\": 1.8, \"species\": \"virginica\"}, {\"sepalLength\": 6.2, \"sepalWidth\": 2.8, \"petalLength\": 4.8, \"petalWidth\": 1.8, \"species\": \"virginica\"}, {\"sepalLength\": 6.1, \"sepalWidth\": 3.0, \"petalLength\": 4.9, \"petalWidth\": 1.8, \"species\": \"virginica\"}, {\"sepalLength\": 6.4, \"sepalWidth\": 2.8, \"petalLength\": 5.6, \"petalWidth\": 2.1, \"species\": \"virginica\"}, {\"sepalLength\": 7.2, \"sepalWidth\": 3.0, \"petalLength\": 5.8, \"petalWidth\": 1.6, \"species\": \"virginica\"}, {\"sepalLength\": 7.4, \"sepalWidth\": 2.8, \"petalLength\": 6.1, \"petalWidth\": 1.9, \"species\": \"virginica\"}, {\"sepalLength\": 7.9, \"sepalWidth\": 3.8, \"petalLength\": 6.4, \"petalWidth\": 2.0, \"species\": \"virginica\"}, {\"sepalLength\": 6.4, \"sepalWidth\": 2.8, \"petalLength\": 5.6, \"petalWidth\": 2.2, \"species\": \"virginica\"}, {\"sepalLength\": 6.3, \"sepalWidth\": 2.8, \"petalLength\": 5.1, \"petalWidth\": 1.5, \"species\": \"virginica\"}, {\"sepalLength\": 6.1, \"sepalWidth\": 2.6, \"petalLength\": 5.6, \"petalWidth\": 1.4, \"species\": \"virginica\"}, {\"sepalLength\": 7.7, \"sepalWidth\": 3.0, \"petalLength\": 6.1, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 6.3, \"sepalWidth\": 3.4, \"petalLength\": 5.6, \"petalWidth\": 2.4, \"species\": \"virginica\"}, {\"sepalLength\": 6.4, \"sepalWidth\": 3.1, \"petalLength\": 5.5, \"petalWidth\": 1.8, \"species\": \"virginica\"}, {\"sepalLength\": 6.0, \"sepalWidth\": 3.0, \"petalLength\": 4.8, \"petalWidth\": 1.8, \"species\": \"virginica\"}, {\"sepalLength\": 6.9, \"sepalWidth\": 3.1, \"petalLength\": 5.4, \"petalWidth\": 2.1, \"species\": \"virginica\"}, {\"sepalLength\": 6.7, \"sepalWidth\": 3.1, \"petalLength\": 5.6, \"petalWidth\": 2.4, \"species\": \"virginica\"}, {\"sepalLength\": 6.9, \"sepalWidth\": 3.1, \"petalLength\": 5.1, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 5.8, \"sepalWidth\": 2.7, \"petalLength\": 5.1, \"petalWidth\": 1.9, \"species\": \"virginica\"}, {\"sepalLength\": 6.8, \"sepalWidth\": 3.2, \"petalLength\": 5.9, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 6.7, \"sepalWidth\": 3.3, \"petalLength\": 5.7, \"petalWidth\": 2.5, \"species\": \"virginica\"}, {\"sepalLength\": 6.7, \"sepalWidth\": 3.0, \"petalLength\": 5.2, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 6.3, \"sepalWidth\": 2.5, \"petalLength\": 5.0, \"petalWidth\": 1.9, \"species\": \"virginica\"}, {\"sepalLength\": 6.5, \"sepalWidth\": 3.0, \"petalLength\": 5.2, \"petalWidth\": 2.0, \"species\": \"virginica\"}, {\"sepalLength\": 6.2, \"sepalWidth\": 3.4, \"petalLength\": 5.4, \"petalWidth\": 2.3, \"species\": \"virginica\"}, {\"sepalLength\": 5.9, \"sepalWidth\": 3.0, \"petalLength\": 5.1, \"petalWidth\": 1.8, \"species\": \"virginica\"}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import altair as alt\n",
    "from vega_datasets import data\n",
    "\n",
    "iris = data.iris()\n",
    "\n",
    "alt.Chart(iris).mark_point().encode(\n",
    "    x='petalLength',\n",
    "    y='petalWidth',\n",
    "    color='species'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RendererRegistry.enable('mimetype')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.renderers.enable('mimetype')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json",
       "config": {
        "view": {
         "continuousHeight": 300,
         "continuousWidth": 400
        }
       },
       "data": {
        "name": "data-a264acbd6e539a8b3afc0cb5f240fb57"
       },
       "datasets": {
        "data-a264acbd6e539a8b3afc0cb5f240fb57": [
         {
          "petalLength": 1.4,
          "petalWidth": 0.2,
          "sepalLength": 5.1,
          "sepalWidth": 3.5,
          "species": "setosa"
         },
         {
          "petalLength": 1.4,
          "petalWidth": 0.2,
          "sepalLength": 4.9,
          "sepalWidth": 3,
          "species": "setosa"
         },
         {
          "petalLength": 1.3,
          "petalWidth": 0.2,
          "sepalLength": 4.7,
          "sepalWidth": 3.2,
          "species": "setosa"
         },
         {
          "petalLength": 1.5,
          "petalWidth": 0.2,
          "sepalLength": 4.6,
          "sepalWidth": 3.1,
          "species": "setosa"
         },
         {
          "petalLength": 1.4,
          "petalWidth": 0.2,
          "sepalLength": 5,
          "sepalWidth": 3.6,
          "species": "setosa"
         },
         {
          "petalLength": 1.7000000000000002,
          "petalWidth": 0.4,
          "sepalLength": 5.4,
          "sepalWidth": 3.9,
          "species": "setosa"
         },
         {
          "petalLength": 1.4,
          "petalWidth": 0.30000000000000004,
          "sepalLength": 4.6,
          "sepalWidth": 3.4,
          "species": "setosa"
         },
         {
          "petalLength": 1.5,
          "petalWidth": 0.2,
          "sepalLength": 5,
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          "sepalLength": 6.4,
          "sepalWidth": 2.8,
          "species": "virginica"
         },
         {
          "petalLength": 5.1,
          "petalWidth": 1.5,
          "sepalLength": 6.3,
          "sepalWidth": 2.8,
          "species": "virginica"
         },
         {
          "petalLength": 5.6,
          "petalWidth": 1.4,
          "sepalLength": 6.1,
          "sepalWidth": 2.6,
          "species": "virginica"
         },
         {
          "petalLength": 6.1,
          "petalWidth": 2.3,
          "sepalLength": 7.7,
          "sepalWidth": 3,
          "species": "virginica"
         },
         {
          "petalLength": 5.6,
          "petalWidth": 2.4,
          "sepalLength": 6.3,
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          "species": "virginica"
         },
         {
          "petalLength": 5.5,
          "petalWidth": 1.8,
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          "species": "virginica"
         },
         {
          "petalLength": 4.8,
          "petalWidth": 1.8,
          "sepalLength": 6,
          "sepalWidth": 3,
          "species": "virginica"
         },
         {
          "petalLength": 5.4,
          "petalWidth": 2.1,
          "sepalLength": 6.9,
          "sepalWidth": 3.1,
          "species": "virginica"
         },
         {
          "petalLength": 5.6,
          "petalWidth": 2.4,
          "sepalLength": 6.7,
          "sepalWidth": 3.1,
          "species": "virginica"
         },
         {
          "petalLength": 5.1,
          "petalWidth": 2.3,
          "sepalLength": 6.9,
          "sepalWidth": 3.1,
          "species": "virginica"
         },
         {
          "petalLength": 5.1,
          "petalWidth": 1.9,
          "sepalLength": 5.8,
          "sepalWidth": 2.7,
          "species": "virginica"
         },
         {
          "petalLength": 5.9,
          "petalWidth": 2.3,
          "sepalLength": 6.8,
          "sepalWidth": 3.2,
          "species": "virginica"
         },
         {
          "petalLength": 5.7,
          "petalWidth": 2.5,
          "sepalLength": 6.7,
          "sepalWidth": 3.3,
          "species": "virginica"
         },
         {
          "petalLength": 5.2,
          "petalWidth": 2.3,
          "sepalLength": 6.7,
          "sepalWidth": 3,
          "species": "virginica"
         },
         {
          "petalLength": 5,
          "petalWidth": 1.9,
          "sepalLength": 6.3,
          "sepalWidth": 2.5,
          "species": "virginica"
         },
         {
          "petalLength": 5.2,
          "petalWidth": 2,
          "sepalLength": 6.5,
          "sepalWidth": 3,
          "species": "virginica"
         },
         {
          "petalLength": 5.4,
          "petalWidth": 2.3,
          "sepalLength": 6.2,
          "sepalWidth": 3.4,
          "species": "virginica"
         },
         {
          "petalLength": 5.1,
          "petalWidth": 1.8,
          "sepalLength": 5.9,
          "sepalWidth": 3,
          "species": "virginica"
         }
        ]
       },
       "encoding": {
        "color": {
         "field": "species",
         "type": "nominal"
        },
        "x": {
         "field": "petalLength",
         "type": "quantitative"
        },
        "y": {
         "field": "petalWidth",
         "type": "quantitative"
        }
       },
       "mark": "point"
      },
      "text/plain": [
       "<VegaLite 4 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import altair as alt\n",
    "from vega_datasets import data\n",
    "\n",
    "iris = data.iris()\n",
    "\n",
    "alt.Chart(iris).mark_point().encode(\n",
    "    x='petalLength',\n",
    "    y='petalWidth',\n",
    "    color='species'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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